def P_value(numbers):
    numbers = []
    num_value = len(numbers)
    score = z_score()
    for pos in num_value:
        if num_value == pos
            numbers.append(pos)
    return pos
Example #2
0
 def zscore(self, a, b, c):
     self.result = z_score(a, b, c)
     return self.result
def p_value(num):
    p_list = z_score(num)
    return p_list
Example #4
0
 def z_score(self, data):
     self.result = z_score(data)
     return self.result
 def z_score(self):
     self.result = z_score(self.data)
     return self.result
def population_correlation_coefficient(num, num1):
    z1 = z_score(num)
    z2 = z_score(num1)
    z1_z2 = list(map(lambda x, y: x * y, z1, z2))
    p = sum(z1_z2) / len(z1_z2)
    return p